CNVD-2015-00865

Vulnerability from cnvd - Published: 2015-02-04
VLAI
Title
Apple TV和iOS内核共享内存子系统权限提升漏洞
Description
Apple iOS是一款运行在苹果iPhone和iPod touch设备上的最新的操作系统。 Apple TV是苹果可以让PC和iPod中的相片,视频和音乐无线传输到电视之中高清晰度播出。  Apple TV和iOS处理内核共享内存子系统存在安全问题,允许攻击者写只读内存,以系统权限执行任意代码。
Severity
Patch Name
Apple TV和iOS内核共享内存子系统权限提升漏洞的补丁
Patch Description
Apple iOS是一款运行在苹果iPhone和iPod touch设备上的最新的操作系统。 Apple TV是苹果可以让PC和iPod中的相片,视频和音乐无线传输到电视之中高清晰度播出。 Apple TV和iOS处理内核共享内存子系统存在安全问题,允许攻击者写只读内存,以系统权限执行任意代码。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: http://support.apple.com/

Reference
http://support.apple.com/en-us/HT204245 https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2014-4495
Impacted products
Name
['Apple IOS <8.1.3', 'Apple OS X <10.10.2', 'Apple TV <7.0.3']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2014-4495"
    }
  },
  "description": "Apple iOS\u662f\u4e00\u6b3e\u8fd0\u884c\u5728\u82f9\u679ciPhone\u548ciPod touch\u8bbe\u5907\u4e0a\u7684\u6700\u65b0\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002 Apple TV\u662f\u82f9\u679c\u53ef\u4ee5\u8ba9PC\u548ciPod\u4e2d\u7684\u76f8\u7247,\u89c6\u9891\u548c\u97f3\u4e50\u65e0\u7ebf\u4f20\u8f93\u5230\u7535\u89c6\u4e4b\u4e2d\u9ad8\u6e05\u6670\u5ea6\u64ad\u51fa\u3002\u00a0\r\n \r\nApple TV\u548ciOS\u5904\u7406\u5185\u6838\u5171\u4eab\u5185\u5b58\u5b50\u7cfb\u7edf\u5b58\u5728\u5b89\u5168\u95ee\u9898\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5199\u53ea\u8bfb\u5185\u5b58\uff0c\u4ee5\u7cfb\u7edf\u6743\u9650\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Ian Beer of Google Project Zero",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://support.apple.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-00865",
  "openTime": "2015-02-04",
  "patchDescription": "Apple iOS\u662f\u4e00\u6b3e\u8fd0\u884c\u5728\u82f9\u679ciPhone\u548ciPod touch\u8bbe\u5907\u4e0a\u7684\u6700\u65b0\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002 Apple TV\u662f\u82f9\u679c\u53ef\u4ee5\u8ba9PC\u548ciPod\u4e2d\u7684\u76f8\u7247,\u89c6\u9891\u548c\u97f3\u4e50\u65e0\u7ebf\u4f20\u8f93\u5230\u7535\u89c6\u4e4b\u4e2d\u9ad8\u6e05\u6670\u5ea6\u64ad\u51fa\u3002 \r\nApple TV\u548ciOS\u5904\u7406\u5185\u6838\u5171\u4eab\u5185\u5b58\u5b50\u7cfb\u7edf\u5b58\u5728\u5b89\u5168\u95ee\u9898\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5199\u53ea\u8bfb\u5185\u5b58\uff0c\u4ee5\u7cfb\u7edf\u6743\u9650\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Apple TV\u548ciOS\u5185\u6838\u5171\u4eab\u5185\u5b58\u5b50\u7cfb\u7edf\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apple IOS \u003c8.1.3",
      "Apple OS X \u003c10.10.2",
      "Apple TV \u003c7.0.3"
    ]
  },
  "referenceLink": "http://support.apple.com/en-us/HT204245\r\nhttps://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2014-4495",
  "serverity": "\u9ad8",
  "submitTime": "2015-01-30",
  "title": "Apple TV\u548ciOS\u5185\u6838\u5171\u4eab\u5185\u5b58\u5b50\u7cfb\u7edf\u6743\u9650\u63d0\u5347\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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